Background population: how does it affect LR based forensic voice comparison?
Date
2014
Authors
Kinoshita, Yuko
Ishihara, Shunichi
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Publisher
Equinox Publishing
Abstract
This article investigates to what extent and in what ways the size of the background population affects the outcome of likelihood ratio (LR) based forensic voice comparison. While sample size is known to affect the accuracy of statistical modelling, specific effects in the context of forensic voice comparison are not yet understood. Forensic voice comparison analysts need to work with limited data, but it is unclear how this might impact on the LR-based evaluation of evidence. In this article, we report LR-based speaker comparison experiments using variously sized datasets for background population. They use features derived from long term F0 distribution. We examined their performance in terms of accuracy (closeness to the true value) and precision (reproducibility).
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Source
International Journal of Speech Language and the Law
Type
Journal article